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[Numpy] Fix einsum gradient #18482

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@hanke580 hanke580 commented Jun 4, 2020

Description

This is a backport of PR #18419
Fix einsum gradient in one dim situation

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Please feel free to remove inapplicable items for your PR.

  • The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant JIRA issue created (except PRs with tiny changes)
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  • Unit tests are added for small changes to verify correctness (e.g. adding a new operator)
  • Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore)
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  • Feature1, tests, (and when applicable, API doc)
  • Feature2, tests, (and when applicable, API doc)

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  • If this change is a backward incompatible change, why must this change be made.
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@hanke580 hanke580 changed the title * Fix einsum gradient [Numpy] Fix einsum gradient Jun 4, 2020
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hanke580 commented Jun 4, 2020

backport of einsum
@ciyongch

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ciyongch commented Jun 4, 2020

website job seems get stuck, please help to re-trigger the job.

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hanke580 commented Jun 4, 2020

@mxnet-bot run ci [website]

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Jenkins CI successfully triggered : [website]

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LGTM.
Ping @leezu @TaoLv @pengzhao-intel to help merge.

@pengzhao-intel pengzhao-intel merged commit b1bb307 into apache:v1.7.x Jun 5, 2020
leezu pushed a commit to leezu/mxnet that referenced this pull request Oct 1, 2020
samskalicky pushed a commit that referenced this pull request Oct 2, 2020
* * Fix einsum gradient (#18482)

* [v1.7.x] Backport PRs of numpy features (#18653)

* add zero grad for npi_unique (#18080)

* fix np.clip scalar input case (#17788)

* fix true_divide (#18393)

Co-authored-by: Hao Jin <[email protected]>
Co-authored-by: Xi Wang <[email protected]>

* [v1.7.x] backport mixed type binary ops to v1.7.x (#18649)

* Fix Windows GPU CI (#17962)

Update Windows CI to use VS 2019 and enable x64 bit toolchain. Previously we are using an older 32 bit toolchain causing OOM errors during linking. Switching to x64 bit toolchain on the older VS version previously used by the CI was attempted in #17912 and did not work. Update to Cuda 10.2 as it is required by VS 2019. Switch to ninja-build on Windows to speed up build as ninja-build is now preinstalled. Remove logic to install cmake 3.16 on every PR as cmake 3.17 is now preinstalled. Add build retrials due to cuda thrust + VS2019 flakyness.

Co-authored-by: vexilligera <[email protected]>

* backport mixed type

Co-authored-by: Leonard Lausen <[email protected]>
Co-authored-by: vexilligera <[email protected]>

* revise activations (#18700)

* [v1.6] Fix the monitor_callback invalid issue during calibration with variable input shapes (#18632) (#18703)

* Fix the monitor_callback invalid issue during calibration with variable input shapes

* retrigger CI

* Add UT for monitor check and disable codecov

Co-authored-by: Tao Lv <[email protected]>

* Fail build_windows.py if all retries failed (#18177)

* Update to thrust 1.9.8 on Windows (#18218)

* Update to thrust 1.9.8 on Windows

* Remove debug logic

* Re-enable build retries on MSVC (#18230)

Updating thrust alone did not help. Similar issues (though less often) still
occur with updated thrust, and also with nvidia cub. Tracked upstream at
NVIDIA/thrust#1090

Co-authored-by: Ke Han <[email protected]>
Co-authored-by: Xingjian Shi <[email protected]>
Co-authored-by: Hao Jin <[email protected]>
Co-authored-by: Xi Wang <[email protected]>
Co-authored-by: Yijun Chen <[email protected]>
Co-authored-by: vexilligera <[email protected]>
Co-authored-by: ciyong <[email protected]>
Co-authored-by: Tao Lv <[email protected]>
samskalicky pushed a commit to samskalicky/incubator-mxnet that referenced this pull request Oct 2, 2020
* * Fix einsum gradient (apache#18482)

* [v1.7.x] Backport PRs of numpy features (apache#18653)

* add zero grad for npi_unique (apache#18080)

* fix np.clip scalar input case (apache#17788)

* fix true_divide (apache#18393)

Co-authored-by: Hao Jin <[email protected]>
Co-authored-by: Xi Wang <[email protected]>

* [v1.7.x] backport mixed type binary ops to v1.7.x (apache#18649)

* Fix Windows GPU CI (apache#17962)

Update Windows CI to use VS 2019 and enable x64 bit toolchain. Previously we are using an older 32 bit toolchain causing OOM errors during linking. Switching to x64 bit toolchain on the older VS version previously used by the CI was attempted in apache#17912 and did not work. Update to Cuda 10.2 as it is required by VS 2019. Switch to ninja-build on Windows to speed up build as ninja-build is now preinstalled. Remove logic to install cmake 3.16 on every PR as cmake 3.17 is now preinstalled. Add build retrials due to cuda thrust + VS2019 flakyness.

Co-authored-by: vexilligera <[email protected]>

* backport mixed type

Co-authored-by: Leonard Lausen <[email protected]>
Co-authored-by: vexilligera <[email protected]>

* revise activations (apache#18700)

* [v1.6] Fix the monitor_callback invalid issue during calibration with variable input shapes (apache#18632) (apache#18703)

* Fix the monitor_callback invalid issue during calibration with variable input shapes

* retrigger CI

* Add UT for monitor check and disable codecov

Co-authored-by: Tao Lv <[email protected]>

* Fail build_windows.py if all retries failed (apache#18177)

* Update to thrust 1.9.8 on Windows (apache#18218)

* Update to thrust 1.9.8 on Windows

* Remove debug logic

* Re-enable build retries on MSVC (apache#18230)

Updating thrust alone did not help. Similar issues (though less often) still
occur with updated thrust, and also with nvidia cub. Tracked upstream at
NVIDIA/thrust#1090

Co-authored-by: Ke Han <[email protected]>
Co-authored-by: Xingjian Shi <[email protected]>
Co-authored-by: Hao Jin <[email protected]>
Co-authored-by: Xi Wang <[email protected]>
Co-authored-by: Yijun Chen <[email protected]>
Co-authored-by: vexilligera <[email protected]>
Co-authored-by: ciyong <[email protected]>
Co-authored-by: Tao Lv <[email protected]>
samskalicky added a commit that referenced this pull request Oct 3, 2020
* * Fix einsum gradient (#18482)

* [v1.7.x] Backport PRs of numpy features (#18653)

* add zero grad for npi_unique (#18080)

* fix np.clip scalar input case (#17788)

* fix true_divide (#18393)

Co-authored-by: Hao Jin <[email protected]>
Co-authored-by: Xi Wang <[email protected]>

* [v1.7.x] backport mixed type binary ops to v1.7.x (#18649)

* Fix Windows GPU CI (#17962)

Update Windows CI to use VS 2019 and enable x64 bit toolchain. Previously we are using an older 32 bit toolchain causing OOM errors during linking. Switching to x64 bit toolchain on the older VS version previously used by the CI was attempted in #17912 and did not work. Update to Cuda 10.2 as it is required by VS 2019. Switch to ninja-build on Windows to speed up build as ninja-build is now preinstalled. Remove logic to install cmake 3.16 on every PR as cmake 3.17 is now preinstalled. Add build retrials due to cuda thrust + VS2019 flakyness.

Co-authored-by: vexilligera <[email protected]>

* backport mixed type

Co-authored-by: Leonard Lausen <[email protected]>
Co-authored-by: vexilligera <[email protected]>

* revise activations (#18700)

* [v1.6] Fix the monitor_callback invalid issue during calibration with variable input shapes (#18632) (#18703)

* Fix the monitor_callback invalid issue during calibration with variable input shapes

* retrigger CI

* Add UT for monitor check and disable codecov

Co-authored-by: Tao Lv <[email protected]>

* Fail build_windows.py if all retries failed (#18177)

* Update to thrust 1.9.8 on Windows (#18218)

* Update to thrust 1.9.8 on Windows

* Remove debug logic

* Re-enable build retries on MSVC (#18230)

Updating thrust alone did not help. Similar issues (though less often) still
occur with updated thrust, and also with nvidia cub. Tracked upstream at
NVIDIA/thrust#1090

Co-authored-by: Ke Han <[email protected]>
Co-authored-by: Xingjian Shi <[email protected]>
Co-authored-by: Hao Jin <[email protected]>
Co-authored-by: Xi Wang <[email protected]>
Co-authored-by: Yijun Chen <[email protected]>
Co-authored-by: vexilligera <[email protected]>
Co-authored-by: ciyong <[email protected]>
Co-authored-by: Tao Lv <[email protected]>

Co-authored-by: Leonard Lausen <[email protected]>
Co-authored-by: Ke Han <[email protected]>
Co-authored-by: Xingjian Shi <[email protected]>
Co-authored-by: Hao Jin <[email protected]>
Co-authored-by: Xi Wang <[email protected]>
Co-authored-by: Yijun Chen <[email protected]>
Co-authored-by: vexilligera <[email protected]>
Co-authored-by: ciyong <[email protected]>
Co-authored-by: Tao Lv <[email protected]>
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4 participants